Chakrabarty, AmitabhaSohan, Asif AhmedFairooz, FabihaRahman, Adham IbrahimAli, Mohammad2021-11-212021-11-2120192019-08ID 15301072ID 15301061ID 15301091ID 15301054http://hdl.handle.net/10361/15628Cataloged from PDF version of thesis.Includes bibliographical references (pages 25-26).This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019.The whole world is familiar with the Global Positioning System or GPS which can identify the exact position of any object with the help of satellites. Yet GPS signals are not available indoors. To overcome this, Indoor Positioning System(IPS) is used which enables us to locate objects inside an indoor environment. Our goal is to build an Indoor Positioning System by estimating the location using Received Signal Strength Indication (RSSI) through wireless networks. The proposed model will determine the position of wireless devices in a room. We took the RSSI values as coordinates and speci c reference points at every two meters making the room into a grid. The RSSI values on the reference point are measured. The position of the wireless devices will be estimated from the reference points using the trilateration method and the ITU indoor path loss model. With the aforementioned process, we calculated the position using the ITU indoor path loss model and trilateration. Using the ITU indoor path loss model our mean error was 1.01166m and while using trilateration it was 1.22m.26 pagesenBrac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.Indoor positioningWiFiRSSITrilaterationITUWireless sensor networks.Indoor positioning systems (Wireless localization)Thesis